The 3 churn signals most SaaS teams ignore until it's too late
Most churn prediction models look at the wrong signals. Here are the three behavioural indicators that predict cancellation 60–90 days out — and how to act on them.
Discuss with usNo thought leadership for its own sake. Only ideas that change how growth teams use data.
Most churn prediction models look at the wrong signals. Here are the three behavioural indicators that predict cancellation 60–90 days out — and how to act on them.
Discuss with usMAU tells you who logged in. MTU tells you who gave you money. The difference in those two numbers contains your entire growth problem.
Discuss with usRecency is the most powerful RFM variable — and the most commonly miscalculated. Here's how a small change to how you measure it completely changes your segment outputs.
Discuss with usIf your marketing decisions are based on last-click data, you are systematically over-investing in channels that close and under-investing in the ones that actually create demand.
Discuss with us95% of dashboard failures are not technical. They happen because the dashboard was built around available data, not around the decisions that need to be made. Here's the fix.
Discuss with usOne-time competitor research is obsolete in six months. Here is the lightweight monitoring framework that keeps you updated without consuming analyst time every week.
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